xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset. It achieves the following results on the evaluation set:
- Loss: 0.2762
- F1: 0.8434
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.548 | 1.0 | 191 | 0.3337 | 0.7792 |
0.266 | 2.0 | 382 | 0.2774 | 0.8282 |
0.174 | 3.0 | 573 | 0.2762 | 0.8434 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.